Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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Updated
Jan 23, 2026 - Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".
Handwritten mathematical symbols recognition with TrOCR
An image to text model base on transformer which can also be used on OCR task.
AutoRegressive Transformer Model for Optical Character Recognition In Farasi
A service for extracting and indexing archival document images
A safer way to organize your handwritten medical prescriptions with the functionality of blockchain.
FrameReader is a full-fledged service for recognizing text on frames of video materials in Russian, training, deployment of computer vision models to solve the OCR problem. Optimization of models on the tensorrt engine
This is a handwritten-equations to latex-equations converter, built using trocrbasestage1 model + CROHME dataset + custom-built SentencePiece Tokenizer (latex)
Doxaria OCR/HTR for medical insurance documents
MNIST Sequence Image-to-text TrOCR transformer using Hugging Face
Solution than scored top #3 in Super AI Kaggle competition: handwritten digit hackathon
A TrOCR-small-printed model fine-tuned on 419,880 CAPTCHAs from the YZU Course Selection System.
Text Drawing and Recognition in A-Frame
Production OCR pipeline using TrOCR and PaddleOCR with post-processing
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